吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 854-860.doi: 10.13229/j.cnki.jdxbgxb201403044

• Orignal Article • Previous Articles     Next Articles

Fast blind spectrum sensing using Sevcik fractal dimension in frequency domain

FU Shuang1,2,LI Yi-bing1,YE Fang1,GAO Zhen-guo3   

  1. 1.Institute of Information and Communication Engineering, Harbin Engineering University, Harbin 150001,China;
    2.Institute of Information Technology, Heilongjiang Bayi Agricultural University, Daqing 163319, China;
    3.Institute of Automation, Harbin Engineering University, Harbin 150001,China
  • Received:2012-11-26 Online:2014-03-01 Published:2014-03-01

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Abstract: A fast blind spectrum sensing method using Sevcik fractal dimension in frequency domain is proposed. First, the Sevcik fractal dimension in frequency domain of the received signal is calculated. Then according to the difference of Sevcik fractal dimension characters between signal and noise, the calculation result is compared with the predefined threshold to determine whether the primary user exists. Compared with existing spectrum sensing methods, the proposed method has some advantages, such as insensitive to noise uncertainty, not requiring priori knowledge, and high detection probability in low SNR situation. Furthermore, it consumes less calculation time. This method can be applied to fast blind spectrum sensing in the situation of low SNR and noise uncertainty. Monte Carlo simulation results show that its average detection probability of signals with 7 modulation types can reach 100% when SNR is larger than -12 dB with ±5 dB noise uncertainty.

Key words: information processing, spectrum sensing, fractal dimension, noise uncertainty

CLC Number: 

  • TN911.23
[1] Haykin S. Cognitive radio: brain-empowered wireless communications[J]. IEEE Journal on Selected Areas in Communications, 2005, 23(2): 201-220.
[2] Fu Shuang, Li Yi-bing, Ye Fang. Spectrum sensing technology defending against SNR attack based on geographic location information[J]. Journal of Information and Computational Science, 2012, 9(13): 3721-3729.
[3] 李文生, 李一兵. 一种认知无线电频谱检测新算法[J]. 应用科技, 2011, 38(1): 49-52.
Li Wen-sheng, Li Yi-bing. A new algorithm for spectrum detection in cognitive radio system[J]. Applied Science and Technology, 2011, 38(1): 49-52.
[4] 丁汉清, 杨家玮, 赵志远. 基于分群的自适应双门限合作频谱感知[J]. 吉林大学学报：工学版, 2011, 41(2): 537-542.
Ding Han-qing, Yang Jia-wei, Zhao Zhi-yuan. Adaptive dual threshold cooperative spectrum sensing based on grouping[J]. Journal of Jilin University(Engineering and Technology Edition), 2011, 41(2): 537-542.
[5] Kim H, Shin K G. Efficient discovery of spectrum opportunities with mac-layer sensing in cognitive radio networks[J]. IEEE Transactions on Mobile Computing, 2008, 7(5): 533-545.
[6] Lundén J, Koivunen V, Huttunen A, et al. Collaborative cyclostationary spectrum sensing for cognitive radio systems[J]. IEEE Transactions on Signal Processing, 2009, 57(11): 4182-4195.
[7] Digham F F, Alouini M S, Simon M K. On the energy detection of unknown signals over fading channels[J]. IEEE Transactions on Communications, 2007, 55(1): 21-24.
[8] Tandra R, Sahai A. SNR walls for signal detection[J]. IEEE Journal of Selected Topics in Signal Processing, 2008, 2(1): 4-17.
[9] Kordan S B, Abolhassani B. Blind spectrum sensing for cognitive radio based on complexity measurement[C]∥19th Iranian Conference on Electrical Engineering, Tehran, Iran, 2011:1-4.
[10] 赵春晖, 马爽, 杨伟超. 基于分形盒维数的频谱感知技术研究[J]. 电子与信息学报,2011,33(2): 475-478.
Zhao Chun-hui, Ma Shuang, Yang Wei-chao. Spectrum sensing in cognitive radios based on fractal box dimension[J]. Journal of Electronics & Information Technology, 2011, 33(2):475-478.
[11] 陈小波, 陈红, 蔡晓霞, 等. 基于分形盒维数的双门限合作频谱感知方法[J]. 电讯技术, 2011, 51(8): 75-79.
Chen Xiao-bo, Chen Hong, Cai Xiao-xia, et al. Double threshold cooperative spectrum sensing method based on fractal box dimension[J]. Telecommunication Engineering, 2011, 51(8): 75-79.
[12] 陈小波, 陈红, 刘佳, 等. 基于双门限盒维数与信息维数的协作感知方法[J]. 探测与控制学报, 2011, 33(4):72-76.
Chen Xiao-bo, Chen Hong, Liu Jia, et al. Cooperative spectrum sensing based on double threshold box dimension and information dimension[J]. Journal of Detection & Control, 2011, 33(4): 72-76.
[13] Zhang Y L, Zhang Q Y, Melodia T. A frequency-domain entropy-based detector for robust spectrum sensing in cognitive radio networks[J]. IEEE Communications Letters, 2010, 14(6): 533-535.
[14] Sevcik C. A procedure to estimate the fractal dimension of waveforms[J]. Complexity International, 1998, 5:1-19.
[15] Zhang Y, Zhang Q, Wu S. Entropy-based robust spectrum sensing in cognitive radio[J]. IET Communications, 2010, 4(4): 428-436.
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